Literature DB >> 15211751

Development of a new reference standard for microarray experiments.

Francesco Gorreta1, Dagania Barzaghi, Amy J VanMeter, Vikas Chandhoke, Luca Del Giacco.   

Abstract

Often microarray studies require a reference to indirectly compare the samples under observation. References based on pooled RNA from different cell lines have already been described (here referred to as RNA-R), but they usually do not exhaustively represent the set of genes printed on a chip, thus requiring many adjustments during the analyses. A reference could also be generated in vitro transcribing the collection of cDNA clones printed on the microarray in use (here referred to as T3-R). Here we describe an alternative and simpler PCR-based methodology to construct a similar reference (Chip-R), and we extensively test and compare it to both RNA-R and T3-R. The use of both Chip-R and T3-R dramatically increases the number of signals on the slides and gives more reproducible results than RNA-R. Each reference preparation is also evaluated in a simple microarray experiment comparing two different RNA populations. Our results show that the introduction of a reference always interferes with the analysis. Indeed, the direct comparison is able to identify more up- or down-regulated genes than any reference-mediated analysis. However, if a reference has to be used, Chip-R and T3-R are able to guarantee more reliable results than RNA-R.

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Year:  2004        PMID: 15211751     DOI: 10.2144/04366RR01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  3 in total

1.  Hepatic stellate cell and myofibroblast-like cell gene expression in the explanted cirrhotic livers of patients undergoing liver transplantation.

Authors:  J Michael Estep; Linda O'Reilly; Geraldine Grant; James Piper; Johann Jonsson; Arian Afendy; Vikas Chandhoke; Zobair M Younossi
Journal:  Dig Dis Sci       Date:  2009-08-13       Impact factor: 3.199

2.  Evaluation of reference-based two-color methods for measurement of gene expression ratios using spotted cDNA microarrays.

Authors:  Bernardo R Peixoto; Ricardo Z N Vêncio; Camila M Egidio; Luisa Mota-Vieira; Sergio Verjovski-Almeida; Eduardo M Reis
Journal:  BMC Genomics       Date:  2006-02-24       Impact factor: 3.969

3.  A universal reference sample derived from clone vector for improved detection of differential gene expression.

Authors:  Rishi L Khan; Gregory E Gonye; Guang Gao; James S Schwaber
Journal:  BMC Genomics       Date:  2006-05-05       Impact factor: 3.969

  3 in total

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